{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "patch vulnerability", "trigger": true, "arguments": ["releaser", "issues addressed", "patch", "vulnerability", "vulnerable system version", "time", "patch number", "vulnerable system", "supported platform", "common vulnerabilities and exposures"]}, {"event_type": "ransom", "trigger": true, "arguments": ["payment method", "tool", "damage amount", "attacker", "victim", "price", "attack pattern", "time"]}, {"event_type": "phishing", "trigger": true, "arguments": ["place", "trusted entity", "damage amount", "attacker", "attack pattern", "purpose", "victim", "time", "tool"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["vulnerable system", "vulnerability", "vulnerable system owner", "capabilities", "time", "discoverer", "vulnerable system version"]}, {"event_type": "data breach", "trigger": true, "arguments": ["damage amount", "attack pattern", "purpose", "attacker", "tool", "number of victim", "place", "compromised data", "victim"]}], "input": "⬭ Emails disguised to look like they were coming from family members , sharing photos , but which asked the victim to log in and give away credentials instead ."}
{"patch vulnerability": [], "ransom": [], "phishing": [{"trigger": "disguised to look like", "arguments": {"place": "NAN", "trusted entity": "NAN", "damage amount": "NAN", "attacker": "NAN", "attack pattern": "NAN", "purpose": "NAN", "victim": "NAN", "time": "NAN", "tool": "Emails"}}], "discover vulnerability": [], "data breach": []}